Vinos Reporte

Dataset statistics

Number of variables	14
Number of observations	4898
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	13
Duplicate rows (%)	0.3%
Total size in memory	535.8 KiB
Average record size in memory	112.0 B

Variable types

Numeric	12
Categorical	2

Warnings

Dataset has 13 (0.3%) duplicate rows

Duplicates

Reproduction

Analysis started	2021-03-16 14:02:38.721983
Analysis finished	2021-03-16 14:04:57.590861
Duration	2 minutes and 18.87 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

fixed acidity
Real number (ℝ_≥0)

Distinct	68
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.854787668
Minimum	3.8
Maximum	14.2
Zeros	0
Zeros (%)	0.0%
Memory size	38.4 KiB

Quantile statistics

Minimum	3.8
5-th percentile	5.6
Q1	6.3
median	6.8
Q3	7.3
95-th percentile	8.3
Maximum	14.2
Range	10.4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.8438682277
Coefficient of variation (CV)	0.1231063993
Kurtosis	2.172178465
Mean	6.854787668
Median Absolute Deviation (MAD)	0.5
Skewness	0.6477514746
Sum	33574.75
Variance	0.7121135857
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
6.8	308	6.3%
6.6	290	5.9%
6.4	280	5.7%
6.9	241	4.9%
6.7	236	4.8%
7	232	4.7%
6.5	225	4.6%
7.2	206	4.2%
7.1	200	4.1%
7.4	194	4.0%
Other values (58)	2486	50.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.8	1	< 0.1%
3.9	1	< 0.1%
4.2	2	< 0.1%
4.4	3	0.1%
4.5	1	< 0.1%

Value	Count	Frequency (%)
14.2	1	< 0.1%
11.8	1	< 0.1%
10.7	2	< 0.1%
10.3	2	< 0.1%
10.2	1	< 0.1%

volatile acidity
Real number (ℝ_≥0)

Distinct	125
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.2782411188
Minimum	0.08
Maximum	1.1
Zeros	0
Zeros (%)	0.0%
Memory size	38.4 KiB

Quantile statistics

Minimum	0.08
5-th percentile	0.15
Q1	0.21
median	0.26
Q3	0.32
95-th percentile	0.46
Maximum	1.1
Range	1.02
Interquartile range (IQR)	0.11

Descriptive statistics

Standard deviation	0.1007945484
Coefficient of variation (CV)	0.3622561211
Kurtosis	5.091625817
Mean	0.2782411188
Median Absolute Deviation (MAD)	0.06
Skewness	1.576979503
Sum	1362.825
Variance	0.01015954099
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0.28	263	5.4%
0.24	253	5.2%
0.26	240	4.9%
0.25	231	4.7%
0.22	229	4.7%
0.27	218	4.5%
0.23	216	4.4%
0.2	214	4.4%
0.3	198	4.0%
0.21	191	3.9%
Other values (115)	2645	54.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.08	4	0.1%
0.085	1	< 0.1%
0.09	1	< 0.1%
0.1	6	0.1%
0.105	6	0.1%

Value	Count	Frequency (%)
1.1	1	< 0.1%
1.005	1	< 0.1%
0.965	1	< 0.1%
0.93	1	< 0.1%
0.91	1	< 0.1%

citric acid
Real number (ℝ_≥0)

Distinct	87
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.3341915067
Minimum	0
Maximum	1.66
Zeros	19
Zeros (%)	0.4%
Memory size	38.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0.17
Q1	0.27
median	0.32
Q3	0.39
95-th percentile	0.54
Maximum	1.66
Range	1.66
Interquartile range (IQR)	0.12

Descriptive statistics

Standard deviation	0.1210198042
Coefficient of variation (CV)	0.362127109
Kurtosis	6.174900657
Mean	0.3341915067
Median Absolute Deviation (MAD)	0.06
Skewness	1.281920398
Sum	1636.87
Variance	0.01464579301
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0.3	307	6.3%
0.28	282	5.8%
0.32	257	5.2%
0.34	225	4.6%
0.29	223	4.6%
0.26	219	4.5%
0.27	216	4.4%
0.49	215	4.4%
0.31	200	4.1%
0.33	183	3.7%
Other values (77)	2571	52.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	19	0.4%
0.01	7	0.1%
0.02	6	0.1%
0.03	2	< 0.1%
0.04	12	0.2%

Value	Count	Frequency (%)
1.66	1	< 0.1%
1.23	1	< 0.1%
1	5	0.1%
0.99	1	< 0.1%
0.91	2	< 0.1%

residual sugar
Real number (ℝ_≥0)

Distinct	310
Distinct (%)	6.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.391414863
Minimum	0.6
Maximum	65.8
Zeros	0
Zeros (%)	0.0%
Memory size	38.4 KiB

Quantile statistics

Minimum	0.6
5-th percentile	1.1
Q1	1.7
median	5.2
Q3	9.9
95-th percentile	15.7
Maximum	65.8
Range	65.2
Interquartile range (IQR)	8.2

Descriptive statistics

Standard deviation	5.072057784
Coefficient of variation (CV)	0.7935735502
Kurtosis	3.469820103
Mean	6.391414863
Median Absolute Deviation (MAD)	3.6
Skewness	1.077093756
Sum	31305.15
Variance	25.72577016
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1.2	187	3.8%
1.4	184	3.8%
1.6	165	3.4%
1.3	147	3.0%
1.1	146	3.0%
1.5	142	2.9%
1.8	99	2.0%
1.7	99	2.0%
1	93	1.9%
2	79	1.6%
Other values (300)	3557	72.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.6	2	< 0.1%
0.7	7	0.1%
0.8	25	0.5%
0.9	39	0.8%
0.95	4	0.1%

Value	Count	Frequency (%)
65.8	1	< 0.1%
31.6	2	< 0.1%
26.05	2	< 0.1%
23.5	1	< 0.1%
22.6	1	< 0.1%

chlorides
Real number (ℝ_≥0)

Distinct	160
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.04577235606
Minimum	0.009
Maximum	0.346
Zeros	0
Zeros (%)	0.0%
Memory size	38.4 KiB

Quantile statistics

Minimum	0.009
5-th percentile	0.027
Q1	0.036
median	0.043
Q3	0.05
95-th percentile	0.067
Maximum	0.346
Range	0.337
Interquartile range (IQR)	0.014

Descriptive statistics

Standard deviation	0.02184796809
Coefficient of variation (CV)	0.4773179703
Kurtosis	37.56459971
Mean	0.04577235606
Median Absolute Deviation (MAD)	0.007
Skewness	5.023330683
Sum	224.193
Variance	0.0004773337098
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0.044	201	4.1%
0.036	200	4.1%
0.042	184	3.8%
0.04	182	3.7%
0.046	181	3.7%
0.048	174	3.6%
0.047	171	3.5%
0.045	170	3.5%
0.05	170	3.5%
0.034	168	3.4%
Other values (150)	3097	63.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.009	1	< 0.1%
0.012	1	< 0.1%
0.013	1	< 0.1%
0.014	4	0.1%
0.015	4	0.1%

Value	Count	Frequency (%)
0.346	1	< 0.1%
0.301	1	< 0.1%
0.29	1	< 0.1%
0.271	1	< 0.1%
0.255	1	< 0.1%

free sulfur dioxide
Real number (ℝ_≥0)

Distinct	132
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	35.30808493
Minimum	2
Maximum	289
Zeros	0
Zeros (%)	0.0%
Memory size	38.4 KiB

Quantile statistics

Minimum	2
5-th percentile	11
Q1	23
median	34
Q3	46
95-th percentile	63
Maximum	289
Range	287
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	17.00713733
Coefficient of variation (CV)	0.4816782716
Kurtosis	11.46634243
Mean	35.30808493
Median Absolute Deviation (MAD)	11
Skewness	1.406744921
Sum	172939
Variance	289.24272
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
29	160	3.3%
31	132	2.7%
26	129	2.6%
35	129	2.6%
34	128	2.6%
36	127	2.6%
24	118	2.4%
28	112	2.3%
33	112	2.3%
25	111	2.3%
Other values (122)	3640	74.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	1	< 0.1%
3	10	0.2%
4	11	0.2%
5	25	0.5%
6	32	0.7%

Value	Count	Frequency (%)
289	1	< 0.1%
146.5	1	< 0.1%
138.5	1	< 0.1%
131	1	< 0.1%
128	1	< 0.1%

total sulfur dioxide
Real number (ℝ_≥0)

Distinct	251
Distinct (%)	5.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	138.3606574
Minimum	9
Maximum	440
Zeros	0
Zeros (%)	0.0%
Memory size	38.4 KiB

Quantile statistics

Minimum	9
5-th percentile	75
Q1	108
median	134
Q3	167
95-th percentile	212
Maximum	440
Range	431
Interquartile range (IQR)	59

Descriptive statistics

Standard deviation	42.49806455
Coefficient of variation (CV)	0.3071542543
Kurtosis	0.5718532334
Mean	138.3606574
Median Absolute Deviation (MAD)	29
Skewness	0.3907098417
Sum	677690.5
Variance	1806.085491
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
111	69	1.4%
113	61	1.2%
117	57	1.2%
118	55	1.1%
114	54	1.1%
122	54	1.1%
150	54	1.1%
128	54	1.1%
124	53	1.1%
140	52	1.1%
Other values (241)	4335	88.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
9	1	< 0.1%
10	1	< 0.1%
18	2	< 0.1%
19	1	< 0.1%
21	1	< 0.1%

Value	Count	Frequency (%)
440	1	< 0.1%
366.5	1	< 0.1%
344	1	< 0.1%
313	1	< 0.1%
307.5	1	< 0.1%

density
Real number (ℝ_≥0)

Distinct	890
Distinct (%)	18.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.9940273765
Minimum	0.98711
Maximum	1.03898
Zeros	0
Zeros (%)	0.0%
Memory size	38.4 KiB

Quantile statistics

Minimum	0.98711
5-th percentile	0.9896385
Q1	0.9917225
median	0.99374
Q3	0.9961
95-th percentile	0.999
Maximum	1.03898
Range	0.05187
Interquartile range (IQR)	0.0043775

Descriptive statistics

Standard deviation	0.002990906917
Coefficient of variation (CV)	0.003008877811
Kurtosis	9.793806911
Mean	0.9940273765
Median Absolute Deviation (MAD)	0.00214
Skewness	0.9777730049
Sum	4868.74609
Variance	8.945524186 × 10⁶
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0.992	64	1.3%
0.9928	61	1.2%
0.9932	53	1.1%
0.993	52	1.1%
0.9934	50	1.0%
0.9938	49	1.0%
0.9927	47	1.0%
0.9944	46	0.9%
0.9948	45	0.9%
0.9954	44	0.9%
Other values (880)	4387	89.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.98711	1	< 0.1%
0.98713	1	< 0.1%
0.98722	1	< 0.1%
0.9874	1	< 0.1%
0.98742	2	< 0.1%

Value	Count	Frequency (%)
1.03898	1	< 0.1%
1.0103	2	< 0.1%
1.00295	2	< 0.1%
1.00241	1	< 0.1%
1.0024	1	< 0.1%

pH
Real number (ℝ_≥0)

Distinct	103
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.188266639
Minimum	2.72
Maximum	3.82
Zeros	0
Zeros (%)	0.0%
Memory size	38.4 KiB

Quantile statistics

Minimum	2.72
5-th percentile	2.96
Q1	3.09
median	3.18
Q3	3.28
95-th percentile	3.46
Maximum	3.82
Range	1.1
Interquartile range (IQR)	0.19

Descriptive statistics

Standard deviation	0.1510005996
Coefficient of variation (CV)	0.04736134605
Kurtosis	0.5307749515
Mean	3.188266639
Median Absolute Deviation (MAD)	0.1
Skewness	0.4577825459
Sum	15616.13
Variance	0.02280118108
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3.14	172	3.5%
3.16	164	3.3%
3.22	146	3.0%
3.19	145	3.0%
3.18	138	2.8%
3.2	137	2.8%
3.08	136	2.8%
3.15	136	2.8%
3.1	135	2.8%
3.12	134	2.7%
Other values (93)	3455	70.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.72	1	< 0.1%
2.74	1	< 0.1%
2.77	1	< 0.1%
2.79	3	0.1%
2.8	3	0.1%

Value	Count	Frequency (%)
3.82	1	< 0.1%
3.81	1	< 0.1%
3.8	2	< 0.1%
3.79	1	< 0.1%
3.77	2	< 0.1%

sulphates
Real number (ℝ_≥0)

Distinct	79
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.4898468763
Minimum	0.22
Maximum	1.08
Zeros	0
Zeros (%)	0.0%
Memory size	38.4 KiB

Quantile statistics

Minimum	0.22
5-th percentile	0.34
Q1	0.41
median	0.47
Q3	0.55
95-th percentile	0.71
Maximum	1.08
Range	0.86
Interquartile range (IQR)	0.14

Descriptive statistics

Standard deviation	0.1141258339
Coefficient of variation (CV)	0.2329826717
Kurtosis	1.59092963
Mean	0.4898468763
Median Absolute Deviation (MAD)	0.07
Skewness	0.9771936833
Sum	2399.27
Variance	0.01302470597
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0.5	249	5.1%
0.46	225	4.6%
0.44	216	4.4%
0.38	214	4.4%
0.42	181	3.7%
0.48	179	3.7%
0.45	178	3.6%
0.47	172	3.5%
0.4	168	3.4%
0.54	167	3.4%
Other values (69)	2949	60.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.22	1	< 0.1%
0.23	1	< 0.1%
0.25	4	0.1%
0.26	4	0.1%
0.27	13	0.3%

Value	Count	Frequency (%)
1.08	1	< 0.1%
1.06	1	< 0.1%
1.01	1	< 0.1%
1	1	< 0.1%
0.99	1	< 0.1%

alcohol
Real number (ℝ)

Distinct	145
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.1030780645
Minimum	-0.148345256
Maximum	0.142
Zeros	0
Zeros (%)	0.0%
Memory size	38.4 KiB

Quantile statistics

Minimum	-0.148345256
5-th percentile	0.088
Q1	0.094
median	0.104
Q3	0.114
95-th percentile	0.127
Maximum	0.142
Range	0.290345256
Interquartile range (IQR)	0.02

Descriptive statistics

Standard deviation	0.02473832869
Coefficient of variation (CV)	0.2399960535
Kurtosis	60.50760325
Mean	0.1030780645
Median Absolute Deviation (MAD)	0.01
Skewness	-6.747872236
Sum	504.8763602
Variance	0.0006119849066
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0.094	228	4.7%
0.095	227	4.6%
0.092	197	4.0%
0.09	184	3.8%
0.1	162	3.3%
0.11	158	3.2%
0.105	156	3.2%
0.104	152	3.1%
0.091	142	2.9%
0.108	135	2.8%
Other values (135)	3157	64.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-0.148345256	1	< 0.1%
-0.1475847879	1	< 0.1%
-0.145126027	1	< 0.1%
-0.1448445225	1	< 0.1%
-0.1437677749	1	< 0.1%

Value	Count	Frequency (%)
0.142	1	< 0.1%
0.1405	1	< 0.1%
0.14	5	0.1%
0.139	3	0.1%
0.138	2	< 0.1%

success
Real number (ℝ_≥0)

Distinct	88
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	55.07268273
Minimum	10
Maximum	99
Zeros	0
Zeros (%)	0.0%
Memory size	38.4 KiB

Quantile statistics

Minimum	10
5-th percentile	12
Q1	19
median	60
Q3	83
95-th percentile	89
Maximum	99
Range	89
Interquartile range (IQR)	64

Descriptive statistics

Standard deviation	28.76398764
Coefficient of variation (CV)	0.5222913832
Kurtosis	-1.442068227
Mean	55.07268273
Median Absolute Deviation (MAD)	24
Skewness	-0.3506963182
Sum	269746
Variance	827.3669849
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
83	193	3.9%
88	182	3.7%
82	181	3.7%
86	175	3.6%
84	172	3.5%
19	167	3.4%
89	166	3.4%
81	165	3.4%
87	162	3.3%
85	160	3.3%
Other values (78)	3175	64.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10	58	1.2%
11	138	2.8%
12	139	2.8%
13	133	2.7%
14	141	2.9%

Value	Count	Frequency (%)
99	1	< 0.1%
96	1	< 0.1%
95	1	< 0.1%
94	4	0.1%
93	1	< 0.1%

pricing
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	38.4 KiB

Budget	2223
Medium	1792
Expensive	883

Length

Max length	9
Median length	6
Mean length	6.540832993
Min length	6

Characters and Unicode

Total characters	32037
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Budget
2nd row	Expensive
3rd row	Medium
4th row	Medium
5th row	Expensive

Value	Count	Frequency (%)
Budget	2223	45.4%
Medium	1792	36.6%
Expensive	883	18.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
budget	2223	45.4%
medium	1792	36.6%
expensive	883	18.0%

Most occurring characters

Value	Count	Frequency (%)
e	5781	18.0%
u	4015	12.5%
d	4015	12.5%
i	2675	8.3%
B	2223	6.9%
g	2223	6.9%
t	2223	6.9%
M	1792	5.6%
m	1792	5.6%
E	883	2.8%
Other values (5)	4415	13.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	27139	84.7%
Uppercase Letter	4898	15.3%

Most frequent character per category

Value	Count	Frequency (%)
e	5781	21.3%
u	4015	14.8%
d	4015	14.8%
i	2675	9.9%
g	2223	8.2%
t	2223	8.2%
m	1792	6.6%
x	883	3.3%
p	883	3.3%
n	883	3.3%
Other values (2)	1766	6.5%

Value	Count	Frequency (%)
B	2223	45.4%
M	1792	36.6%
E	883	18.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	32037	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	5781	18.0%
u	4015	12.5%
d	4015	12.5%
i	2675	8.3%
B	2223	6.9%
g	2223	6.9%
t	2223	6.9%
M	1792	5.6%
m	1792	5.6%
E	883	2.8%
Other values (5)	4415	13.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	32037	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	5781	18.0%
u	4015	12.5%
d	4015	12.5%
i	2675	8.3%
B	2223	6.9%
g	2223	6.9%
t	2223	6.9%
M	1792	5.6%
m	1792	5.6%
E	883	2.8%
Other values (5)	4415	13.8%

country
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	38.4 KiB

Spain	2489
Italy	2409

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	24490
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Italy
2nd row	Spain
3rd row	Italy
4th row	Spain
5th row	Spain

Value	Count	Frequency (%)
Spain	2489	50.8%
Italy	2409	49.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
spain	2489	50.8%
italy	2409	49.2%

Most occurring characters

Value	Count	Frequency (%)
a	4898	20.0%
S	2489	10.2%
p	2489	10.2%
i	2489	10.2%
n	2489	10.2%
I	2409	9.8%
t	2409	9.8%
l	2409	9.8%
y	2409	9.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	19592	80.0%
Uppercase Letter	4898	20.0%

Most frequent character per category

Value	Count	Frequency (%)
a	4898	25.0%
p	2489	12.7%
i	2489	12.7%
n	2489	12.7%
t	2409	12.3%
l	2409	12.3%
y	2409	12.3%

Value	Count	Frequency (%)
S	2489	50.8%
I	2409	49.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	24490	100.0%

Most frequent character per script

Value	Count	Frequency (%)
a	4898	20.0%
S	2489	10.2%
p	2489	10.2%
i	2489	10.2%
n	2489	10.2%
I	2409	9.8%
t	2409	9.8%
l	2409	9.8%
y	2409	9.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	24490	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	4898	20.0%
S	2489	10.2%
p	2489	10.2%
i	2489	10.2%
n	2489	10.2%
I	2409	9.8%
t	2409	9.8%
l	2409	9.8%
y	2409	9.8%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	fixed acidity	volatile acidity	citric acid	residual sugar	chlorides	free sulfur dioxide	total sulfur dioxide	density	pH	sulphates	alcohol	success	pricing	country
0	7.0	0.27	0.36	20.7	0.045	45.0	170.0	1.0010	3.00	0.45	0.088	84.0	Budget	Italy
1	6.3	0.30	0.34	1.6	0.049	14.0	132.0	0.9940	3.30	0.49	0.095	12.0	Expensive	Spain
2	8.1	0.28	0.40	6.9	0.050	30.0	97.0	0.9951	3.26	0.44	0.101	54.0	Medium	Italy
3	7.2	0.23	0.32	8.5	0.058	47.0	186.0	0.9956	3.19	0.40	0.099	88.0	Medium	Spain
4	7.2	0.23	0.32	8.5	0.058	47.0	186.0	0.9956	3.19	0.40	0.099	80.0	Expensive	Spain
5	8.1	0.28	0.40	6.9	0.050	30.0	97.0	0.9951	3.26	0.44	0.101	60.0	Budget	Italy
6	6.2	0.32	0.16	7.0	0.045	30.0	136.0	0.9949	3.18	0.47	0.096	56.0	Budget	Spain
7	7.0	0.27	0.36	20.7	0.045	45.0	170.0	1.0010	3.00	0.45	0.088	85.0	Budget	Italy
8	6.3	0.30	0.34	1.6	0.049	14.0	132.0	0.9940	3.30	0.49	0.095	17.0	Medium	Spain
9	8.1	0.22	0.43	1.5	0.044	28.0	129.0	0.9938	3.22	0.45	0.110	12.0	Budget	Italy

Last rows

	fixed acidity	volatile acidity	citric acid	residual sugar	chlorides	free sulfur dioxide	total sulfur dioxide	density	pH	sulphates	alcohol	success	pricing	country
4888	6.8	0.220	0.36	1.20	0.052	38.0	127.0	0.99330	3.04	0.54	0.092	12.0	Expensive	Spain
4889	4.9	0.235	0.27	11.75	0.030	34.0	118.0	0.99540	3.07	0.50	0.094	85.0	Medium	Spain
4890	6.1	0.340	0.29	2.20	0.036	25.0	100.0	0.98938	3.06	0.44	0.118	15.0	Budget	Spain
4891	5.7	0.210	0.32	0.90	0.038	38.0	121.0	0.99074	3.24	0.46	0.106	64.0	Budget	Italy
4892	6.5	0.230	0.38	1.30	0.032	29.0	112.0	0.99298	3.29	0.54	0.097	18.0	Expensive	Italy
4893	6.2	0.210	0.29	1.60	0.039	24.0	92.0	0.99114	3.27	0.50	0.112	19.0	Budget	Spain
4894	6.6	0.320	0.36	8.00	0.047	57.0	168.0	0.99490	3.15	0.46	0.096	89.0	Medium	Spain
4895	6.5	0.240	0.19	1.20	0.041	30.0	111.0	0.99254	2.99	0.46	0.094	11.0	Budget	Italy
4896	5.5	0.290	0.30	1.10	0.022	20.0	110.0	0.98869	3.34	0.38	0.128	16.0	Budget	Spain
4897	6.0	0.210	0.38	0.80	0.020	22.0	98.0	0.98941	3.26	0.32	0.118	12.0	Medium	Spain

Most frequent

	fixed acidity	volatile acidity	citric acid	residual sugar	chlorides	free sulfur dioxide	total sulfur dioxide	density	pH	sulphates	alcohol	success	pricing	country	count
5	7.0	0.15	0.28	14.7	0.051	29.0	149.0	0.99792	2.96	0.39	0.090	83.0	Budget	Spain	3
0	6.4	0.22	0.34	1.4	0.023	56.0	115.0	0.98958	3.18	0.70	0.117	15.0	Medium	Spain	2
1	6.6	0.39	0.39	11.9	0.057	51.0	221.0	0.99851	3.26	0.51	0.089	81.0	Budget	Italy	2
2	6.8	0.18	0.30	12.8	0.062	19.0	171.0	0.99808	3.00	0.52	0.090	86.0	Medium	Italy	2
3	6.9	0.40	0.17	12.9	0.033	59.0	186.0	0.99754	3.08	0.49	0.094	84.0	Budget	Spain	2
4	6.9	0.40	0.17	12.9	0.033	59.0	186.0	0.99754	3.08	0.49	0.094	87.0	Expensive	Italy	2
6	7.0	0.31	0.26	7.4	0.069	28.0	160.0	0.99540	3.13	0.46	0.098	83.0	Budget	Italy	2
7	7.0	0.44	0.24	12.1	0.056	68.0	210.0	0.99718	3.05	0.50	0.095	81.0	Budget	Italy	2
8	7.2	0.23	0.19	13.7	0.052	47.0	197.0	0.99865	3.12	0.53	0.090	48.0	Medium	Spain	2
9	7.4	0.16	0.30	13.7	0.056	33.0	168.0	0.99825	2.90	0.44	0.087	80.0	Medium	Italy	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequent